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在采用自动挤奶系统的农场中,住房和管理实践与产奶量、牛奶成分以及使用傅里叶变换中红外光谱预测的脂肪酸谱之间的关联。

Association of housing and management practices with milk yield, milk composition, and fatty acid profile, predicted using Fourier transform mid-infrared spectroscopy, in farms with automated milking systems.

作者信息

Castro M M D, Matson R D, Santschi D E, Marcondes M I, DeVries T J

机构信息

Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, 36570-900, Brazil; Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.

Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.

出版信息

J Dairy Sci. 2022 Jun;105(6):5097-5108. doi: 10.3168/jds.2021-21150. Epub 2022 Mar 10.

DOI:10.3168/jds.2021-21150
PMID:35282903
Abstract

Milk fatty acid (FA) profile can be divided into (1) de novo (C4-C14) that are synthesized in the mammary gland; (2) preformed (≥C18) that are absorbed from blood and originate from mobilized adipose tissues or dietary fat; and (3) mixed (C16), which have both origins. Our objectives were to describe the FA profile, as predicted using Fourier transform mid-infrared spectroscopy, of bulk tank milk from automated milking system (AMS) farms and to assess the association of management and housing factors with the bulk tank milk composition and FA profile of those AMS farms. The data used were collected from 124 commercial Canadian Holstein dairy farms with AMS, located in the provinces of Ontario (n = 68) and Quebec (n = 56). The farms were visited once from April to September 2019, and information were collected on barn design and herd management practices. Information regarding individual cow milk yield (kg/d), days in milk, parity, and the number of milking cows were automatically collected by the AMS units on each farm. These data were extracted for the entire period that the bulk tank milk samples were monitored, from April 2019 to April 2020 in Quebec and from August 2019 to May 2020 in Ontario. Across herds, milk yield averaged (mean ± standard error) 35.9 ± 0.4 kg/d, with 3.97 ± 0.01% fat and 3.09 ± 0.01% protein, whereas FA profile averaged 26.2 ± 0.1, 33.1 ± 0.1, and 40.7 ± 0.2 g/100 g of FA for de novo, mixed, and preformed, respectively. The FA yield averaged 0.34 ± 0.01, 0.44 ± 0.01, and 0.54 ± 0.01 kg/d for de novo, mixed, and preformed, respectively. Multivariable regression models were used to associate herd-level housing factors and management practices with milk production, composition, and FA profile. Milk yield was positively associated with using a robot feed pusher (+2.1 kg/d) and the use of deep bedding (+2.6 kg/d). The use of a robot feed pusher, deep bedding, and greater stall raking frequency were positively associated with greater yield (kg/d) of de novo, mixed, preformed, and de novo + mixed FA. Use of deep bedding was negatively associated with concentration of fat, de novo FA, mixed FA, and de novo + mixed FA, expressed in grams per 100 g (%) of milk. A wider lying alley width (≥305 cm) was associated with a greater concentration (g/100 g of milk) of de novo and de novo + mixed FA. Greater frequency of partial mixed ration delivery (>2×/d vs. 1 and 2×/d) was positively associated with a greater proportion (g/100 g of FA) of de novo, mixed, and de novo + mixed FA and negatively associated with the proportion of preformed FA. Overall, these associations indicated that bulk tank FA profile can be used as a tool to monitor and adjust management and housing in AMS farms.

摘要

乳脂肪酸(FA)谱可分为:(1)乳腺中合成的从头合成脂肪酸(C4 - C14);(2)从血液中吸收、源自动员的脂肪组织或膳食脂肪的预制脂肪酸(≥C18);以及(3)具有两种来源的混合脂肪酸(C16)。我们的目标是描述使用傅里叶变换中红外光谱预测的自动挤奶系统(AMS)农场储奶罐牛奶的脂肪酸谱,并评估管理和饲养因素与这些AMS农场储奶罐牛奶成分及脂肪酸谱之间的关联。所使用的数据收集自加拿大124个采用AMS的商业荷斯坦奶牛场,分布在安大略省(n = 68)和魁北克省(n = 56)。2019年4月至9月期间对这些农场进行了一次走访,并收集了牛舍设计和牛群管理实践方面的信息。每个农场的AMS设备自动收集有关个体奶牛产奶量(千克/天)、泌乳天数、胎次和挤奶牛数量的信息。这些数据提取自2019年4月至2020年4月魁北克省以及2019年8月至2020年5月安大略省监测储奶罐牛奶样本的整个时间段。在各个牛群中,平均产奶量(均值±标准误差)为35.9±0.4千克/天,脂肪含量为3.97±0.01%,蛋白质含量为3.09±0.01%,而从头合成脂肪酸、混合脂肪酸和预制脂肪酸的脂肪酸谱分别平均为26.2±0.1、33.1±0.1和40.7±0.2克/100克脂肪酸。从头合成脂肪酸、混合脂肪酸和预制脂肪酸的脂肪酸产量分别平均为0.34±0.01、0.44±0.01和0.54±0.01千克/天。使用多变量回归模型将牛群水平的饲养因素和管理实践与牛奶产量、成分及脂肪酸谱相关联。产奶量与使用机器人饲料推送器(增加2.1千克/天)和使用厚垫料(增加2.6千克/天)呈正相关。使用机器人饲料推送器、厚垫料以及更高的牛栏清扫频率与从头合成脂肪酸、混合脂肪酸、预制脂肪酸以及从头合成脂肪酸 + 混合脂肪酸的更高产量(千克/天)呈正相关。使用厚垫料与以每100克(%)牛奶中脂肪、从头合成脂肪酸、混合脂肪酸以及从头合成脂肪酸 + 混合脂肪酸的浓度呈负相关。更宽的躺卧通道宽度(≥305厘米)与更高浓度(克/100克牛奶)的从头合成脂肪酸以及从头合成脂肪酸 + 混合脂肪酸相关。更高频率的部分混合日粮投喂(>2次/天与1次/天和2次/天相比)与更高比例(克/100克脂肪酸)的从头合成脂肪酸、混合脂肪酸以及从头合成脂肪酸 + 混合脂肪酸呈正相关,与预制脂肪酸的比例呈负相关。总体而言,这些关联表明储奶罐脂肪酸谱可作为一种工具,用于监测和调整AMS农场的管理和饲养情况。

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